Free PDF Introduction to Statistics Through Resampling Methods and R/S-PLUS, by Phillip I. Good
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Introduction to Statistics Through Resampling Methods and R/S-PLUS, by Phillip I. Good
Free PDF Introduction to Statistics Through Resampling Methods and R/S-PLUS, by Phillip I. Good
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Stimulate learning through discovery
With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including:
- Tests and estimation procedures for one, two, and multiple samples
- Model building
- Multivariate analysis
- Complex experimental design
Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program.
Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided:
- More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
- Companion FTP site provides access to all data sets and programs discussed in the text
- Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems
- Instructor's manual provides answers to exercises
- Helpful appendices include an introduction to S-PLUS® features
This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.
- Sales Rank: #1770766 in Books
- Published on: 2005-07-13
- Original language: English
- Number of items: 1
- Dimensions: 9.15" h x .61" w x 6.02" l, .88 pounds
- Binding: Paperback
- 248 pages
Most helpful customer reviews
3 of 3 people found the following review helpful.
Almost Good
By MAURICIO AGUIAR
Even though the preface reads, "Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand", this book falls short of its goal - it is neither simple enough for those beginning in Statistics, nor a good first choice for those beginning in R/S-Plus (the software used in the examples).
The book may work for classroom use (where the instructor will fill in the gaps) but not as a first read for self-study. A chapter with solutions to the exercises or an independent solutions volume would certainly make self-study easier in this case.
However, notice that one already familiar with Statistics and R/S-Plus will be able to benefit from the book.
Look for other options if you are beginning both in Statistics and R/S-Plus - there are many. If you are specifically interested in resampling, check "Resampling: The New Statistics" by Julian Simon.
0 of 0 people found the following review helpful.
Not worth it
By Juan Antonio Raygoza Garay
I must say that the title overpromises what the actual content is, you are better off reading tutorials online. I know how to use R but wanted to learn more about resampling it turned out this book is too basic and definitely not worth the listed price.
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